Deep playground is an interactive visualization tool that lets users explore how neural networks learn and behave. Users can manipulate network architecture (layers, units, activation functions), data patterns, and learning parameters to see how these changes affect training outcomes. The project is built in TypeScript using d3.js for rendering and runs entirely in the browser without a backend.